[Remote] Systems Quality and Reliability Lead at Groq

San Jose, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Semiconductor, Artificial Intelligence, AI & Machine LearningIndustries

Skills

Key technologies and capabilities for this role

Electrical EngineeringPhysicsSystems TestValidation EngineeringRoot Cause AnalysisFailure Analysis8D MethodologyData AnalysisRMAMTBFReliability Ratio

Questions & Answers

Common questions about this position

What is the salary range for the Systems Quality and Reliability Lead position?

The salary range is $186,915 - $305,900.

Is this role remote or hybrid, and where is it located?

The position is hybrid and headquartered in Silicon Valley.

What technical skills are required for this role?

Key skills include competence with lab equipment like oscilloscopes and logic analyzers, experience with reliability tests such as HTOL and Burn In, proficiency with high-speed interfaces like Serdes and PCIe, and programming in Python, Perl, C++, or similar on UNIX/Linux.

What experience level is needed for this position?

Candidates need 7+ years of hands-on systems test and/or validation engineering experience, plus proven hands-on management and leadership experience, and a BS/MS in Electrical Engineering, Physics, or related degree.

How should I apply for this role at Groq?

Apply with your resume and cover letter.

Groq

AI inference technology for scalable solutions

About Groq

Groq specializes in AI inference technology, providing the Groq LPU™, which is known for its high compute speed, quality, and energy efficiency. The Groq LPU™ is designed to handle AI processing tasks quickly and effectively, making it suitable for both cloud and on-premises applications. Unlike many competitors, Groq's products are designed, fabricated, and assembled in North America, which helps maintain high standards of quality and performance. The company targets a variety of clients across different industries that require fast and efficient AI processing capabilities. Groq's goal is to deliver scalable AI inference solutions that meet the growing demands for rapid data processing in the AI and machine learning market.

Mountain View, CaliforniaHeadquarters

2016Year Founded

$1,266.5MTotal Funding

SERIES_DCompany Stage

AI & Machine LearningIndustries

201-500Employees

Benefits

Remote Work Options

Company Equity

Risks

Increased competition from SambaNova Systems and Gradio in high-speed AI inference.

Geopolitical risks in the MENA region may affect the Saudi Arabia data center project.

Rapid expansion could strain Groq's operational capabilities and supply chain.

Differentiation

Groq's LPU offers exceptional compute speed and energy efficiency for AI inference.

The company's products are designed and assembled in North America, ensuring high quality.

Groq emphasizes deterministic performance, providing predictable outcomes in AI computations.

Upsides

Groq secured $640M in Series D funding, boosting its expansion capabilities.

Partnership with Aramco Digital aims to build the world's largest inferencing data center.

Integration with Touchcast's Cognitive Caching enhances Groq's hardware for hyper-speed inference.

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